yes Boston,yes Over 234.5 points scored,yes Over 212.5 points scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 18:03 UTC | View → |
| Kalshi | — | — | — | 00:17 UTC | View → |
| Kalshi | — | — | — | 15:03 UTC | View → |
| Kalshi | — | — | — | 15:34 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 06:43 UTC | View → |
| Kalshi | — | — | — | 06:43 UTC | View → |
| Kalshi | — | — | — | 06:43 UTC | View → |
| Kalshi | — | — | — | 18:44 UTC | View → |
| Kalshi | — | — | — | 08:38 UTC | View → |
| Kalshi | — | — | — | 10:32 UTC | View → |
| Kalshi | — | — | — | 19:26 UTC | View → |
| Kalshi | — | — | — | 17:51 UTC | View → |
| Kalshi | — | — | — | 16:43 UTC | View → |
| Kalshi | — | — | — | 00:41 UTC | View → |
| Kalshi | — | — | — | 07:40 UTC | View → |
| Kalshi | — | — | — | 10:03 UTC | View → |
| Kalshi | — | — | — | 13:26 UTC | View → |
| Kalshi | — | — | — | 14:06 UTC | View → |
| Kalshi | — | — | — | 00:06 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 11:17 UTC | View → |
| Kalshi | — | — | — | 14:11 UTC | View → |
| Kalshi | — | — | — | 09:33 UTC | View → |
| Kalshi | — | — | — | 19:26 UTC | View → |
| Kalshi | — | — | — | 01:03 UTC | View → |
| Kalshi | — | — | — | 09:31 UTC | View → |
| Kalshi | — | — | — | 16:12 UTC | View → |
| Kalshi | — | — | — | 09:24 UTC | View → |
| Kalshi | — | — | — | 05:35 UTC | View → |
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 01:05 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 23:31 UTC | View → |
| Kalshi | — | — | — | 00:18 UTC | View → |
| Kalshi | — | — | — | 08:40 UTC | View → |
| Kalshi | — | — | — | 06:41 UTC | View → |
| Kalshi | — | — | — | 18:39 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 22:53 UTC | View → |
| Kalshi | — | — | — | 18:38 UTC | View → |
| Kalshi | — | — | — | 10:45 UTC | View → |
| Kalshi | — | — | — | 05:26 UTC | View → |
| Kalshi | — | — | — | 21:44 UTC | View → |
| Kalshi | — | — | — | 07:14 UTC | View → |
| Kalshi | — | — | — | 05:24 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 12:38 UTC | View → |
| Kalshi | — | — | — | 13:47 UTC | View → |
| Kalshi | — | — | — | 21:48 UTC | View → |
| Kalshi | — | — | — | 00:57 UTC | View → |
| Kalshi | — | — | — | 20:41 UTC | View → |
What do these odds mean?
Cross-platform data for yes Boston,yes Over 234.5 points scored,yes Over 212.5 points scored is still being collected.
How to read cross-platform spreads
When two platforms price the same event meaningfully differently, it usually means one of three things: liquidity is thin on one side, fee structures are pushing a spread, or traders on one platform have information the other lacks. Spreads larger than 5 percentage points on events with over $50K in volume often resolve toward the higher-volume platform's price.
About this data
Beeks.ai aggregates prediction market data from Polymarket, Kalshi, and Manifold. Updates run every minute. Consensus probability is a volume-weighted average across all matched markets. Historical snapshots are stored for calibration analysis.
News & context
Your edge calculator
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